A deep-learning approach to the dynamics of Landau-Zener transitions

• المؤلفون الرئيسيون: Gao, Linliang, Sun, Kewei, Zheng, Huiru, Zhao, Yang
• مؤلفون آخرون: School of Materials Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Materials; Back Propagation Neural Networks; Convolutional Neural Networks
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/150303
• المؤسسة: Nanyang Technological University

Traditional approaches to the dynamics of the open quantum systems with high precision are often resource intensive. How to improve computation accuracy and efficiency for target systems is an extremely difficult challenge. In this work, combining unsupervised and supervised learning algorithms, a d...